登录
首页 » matlab » Patch_inpainting

Patch_inpainting

于 2020-06-19 发布
0 232
下载积分: 1 下载次数: 2

代码说明:

说明:  实现j基于patch的图像修复,可以比较好的实现功能(The image repair based on Patch can realize better function, based on Matlab not relayed on C.)

文件列表:

Patch_inpainting, 0 , 2016-08-12
Patch_inpainting\Lena_input.png, 10340 , 2015-12-04
Patch_inpainting\Lena.png, 473831 , 2015-11-24
Patch_inpainting\initialise_occlusion.m, 3282 , 2016-05-04
Patch_inpainting\nearest_neighbour_field.m, 1414 , 2015-12-07
Patch_inpainting\README.txt, 2390 , 2016-08-12
Patch_inpainting\imshow_occ.m, 402 , 2015-12-04
Patch_inpainting\inpaint_image.m, 2725 , 2016-08-12
Patch_inpainting\test_inpainting.m, 674 , 2016-08-12
Patch_inpainting\reconstruct_image.m, 2026 , 2015-12-07
Patch_inpainting\.git, 0 , 2015-12-04
Patch_inpainting\.git\COMMIT_EDITMSG, 420 , 2015-12-04
Patch_inpainting\.git\HEAD, 23 , 2015-12-04
Patch_inpainting\.git\config, 92 , 2015-12-04
Patch_inpainting\.git\index, 561 , 2015-12-04
Patch_inpainting\.git\description, 73 , 2015-12-04
Patch_inpainting\Draw_figures, 0 , 2015-12-03
Patch_inpainting\Draw_figures\show_frames_correspondances.m, 1605 , 2012-04-16
Patch_inpainting\Draw_figures\show_frames_correspondances.asv, 1351 , 2012-04-03
Patch_inpainting\Draw_figures\set_figure_property.m, 5918 , 2012-10-12
Patch_inpainting\Draw_figures\resetframes_callback.m, 1486 , 2012-10-12
Patch_inpainting\Draw_figures\resetanalysisbutton_callback.m, 1117 , 2015-11-10
Patch_inpainting\Draw_figures\resetanalysisbutton_callback.asv, 1216 , 2013-05-21
Patch_inpainting\Draw_figures\initialise_analysis_figure.m, 4204 , 2015-11-10
Patch_inpainting\Draw_figures\initialise_analysis_figure.asv, 4252 , 2013-05-23
Patch_inpainting\Draw_figures\get_line_coordinates.m, 1000 , 2012-11-14
Patch_inpainting\Draw_figures\get_line_coordinates.asv, 919 , 2012-11-14
Patch_inpainting\Draw_figures\get_figure_property.m, 3637 , 2012-04-11
Patch_inpainting\Draw_figures\get_figure_child.m, 282 , 2011-04-13
Patch_inpainting\Draw_figures\ds2nfu.zip, 2297 , 2012-04-02
Patch_inpainting\Draw_figures\ds2nfu.m, 3102 , 2012-04-03
Patch_inpainting\Draw_figures\changeiteration_callback.asv, 1268 , 2012-10-22
Patch_inpainting\Draw_figures\changeframepopup_callback.m, 1371 , 2012-11-30
Patch_inpainting\Draw_figures\changecorrespondanciespopup_callback.m, 1455 , 2013-03-27
Patch_inpainting\Draw_figures\changecorrespondanciespopup_callback.asv, 1486 , 2013-03-27
Patch_inpainting\Draw_figures\changeanalysispopup_callback.m, 1739 , 2013-03-04
Patch_inpainting\Draw_figures\axescoord2figurecoord.zip, 2134 , 2012-04-02
Patch_inpainting\Draw_figures\axescoord2figurecoord.m, 3224 , 2009-05-25
Patch_inpainting\Draw_figures\analyseshiftbutton_callback.m, 226 , 2012-10-12
Patch_inpainting\Draw_figures\analyse_shift_map.m, 4685 , 2015-12-03
Patch_inpainting\Draw_figures\.DS_Store, 6148 , 2015-05-13
Patch_inpainting\.git\logs, 0 , 2015-12-04
Patch_inpainting\.git\logs\HEAD, 615 , 2015-12-04
Patch_inpainting\.git\objects, 0 , 2015-12-04
Patch_inpainting\.git\info, 0 , 2015-12-04
Patch_inpainting\.git\info\exclude, 240 , 2015-12-04
Patch_inpainting\.git\hooks, 0 , 2015-12-04
Patch_inpainting\.git\hooks\update.sample, 3611 , 2015-12-04
Patch_inpainting\.git\hooks\pre-commit.sample, 1642 , 2015-12-04
Patch_inpainting\.git\hooks\pre-rebase.sample, 4898 , 2015-12-04
Patch_inpainting\.git\hooks\commit-msg.sample, 896 , 2015-12-04
Patch_inpainting\.git\hooks\prepare-commit-msg.sample, 1239 , 2015-12-04
Patch_inpainting\.git\hooks\post-update.sample, 189 , 2015-12-04
Patch_inpainting\.git\hooks\pre-applypatch.sample, 398 , 2015-12-04
Patch_inpainting\.git\hooks\pre-push.sample, 1352 , 2015-12-04
Patch_inpainting\.git\hooks\applypatch-msg.sample, 452 , 2015-12-04
Patch_inpainting\.git\branches, 0 , 2015-12-04
Patch_inpainting\.git\refs, 0 , 2015-12-04
Patch_inpainting\.git\logs\refs, 0 , 2015-12-04
Patch_inpainting\.git\objects\01, 0 , 2015-12-04
Patch_inpainting\.git\objects\01\7977a6fc7a055d3e419996646fdf3092abe354, 192 , 2015-12-04
Patch_inpainting\.git\objects\e6, 0 , 2015-12-04
Patch_inpainting\.git\objects\e6\791ff2f3dad3351258074b7b67c2af66fa3a0b, 254 , 2015-12-04
Patch_inpainting\.git\objects\2b, 0 , 2015-12-04
Patch_inpainting\.git\objects\2b\8b66fe53a9f4ca6e7b864094ad548517f418b8, 301 , 2015-12-04
Patch_inpainting\.git\objects\96, 0 , 2015-12-04
Patch_inpainting\.git\objects\96\e495198ca7f09b2e23ea961d5e6a092ca2db30, 182 , 2015-12-04
Patch_inpainting\.git\objects\62, 0 , 2015-12-04
Patch_inpainting\.git\objects\62\77635f1459e30cdb19922809cc1d9b680606ce, 254 , 2015-12-04
Patch_inpainting\.git\objects\59, 0 , 2015-12-04
Patch_inpainting\.git\objects\59\ef68aabd033341028ccd2b1f6c5871c02b9d7b, 473994 , 2015-12-04
Patch_inpainting\.git\objects\bf, 0 , 2015-12-04
Patch_inpainting\.git\objects\bf\785f5b0b5e102190aaeb9ffa38751547a82300, 288 , 2015-12-04
Patch_inpainting\.git\objects\e0, 0 , 2015-12-04
Patch_inpainting\.git\objects\e0\4ea68bedd078dd7773a1510bb08e83cb0a3198, 709 , 2015-12-04
Patch_inpainting\.git\objects\ce, 0 , 2015-12-04
Patch_inpainting\.git\objects\ce\6a9a74fe6d2548aa01b15e8d7857e360cbc24d, 629 , 2015-12-04
Patch_inpainting\.git\objects\b6, 0 , 2015-12-04
Patch_inpainting\.git\objects\b6\b49d0d589835e1fe6a31fac250310372202697, 462 , 2015-12-04
Patch_inpainting\.git\objects\7c, 0 , 2015-12-04
Patch_inpainting\.git\objects\7c\e3545d3edd42b2d42e704490a19103782a8a50, 973 , 2015-12-04
Patch_inpainting\.git\objects\info, 0 , 2015-12-04
Patch_inpainting\.git\objects\pack, 0 , 2015-12-04
Patch_inpainting\.git\refs\tags, 0 , 2015-12-04
Patch_inpainting\.git\refs\heads, 0 , 2015-12-04
Patch_inpainting\.git\refs\heads\master, 41 , 2015-12-04
Patch_inpainting\.git\logs\refs\heads, 0 , 2015-12-04
Patch_inpainting\.git\logs\refs\heads\master, 441 , 2015-12-04

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 像清晰度评价指标Matlab
    图像清晰度评价函数说明 1、熵: 表示图像所包含的平均信息量的多少,嫡值越大则所含信息量越多。 文件名:entropy.m 结果:EN 2、交叉嫡:反映两幅图像的差异,交叉嫡越小,则融合图像和原图像的差别越小。 文件名:cross_entropy.m 结果:平均交叉嫡MCE,均方根交叉嫡RCE 3、峰值信噪比: PSNR越高,说明融合效果与质量越好。 文件名:psnr.m 结果:PSNR 4、Qabf: 评价边缘或梯度质量,越大边缘越明显 文件名:Qabf.m 结果:Qabf(QAB/F) 5、平均梯度(Average Gradient):也称为清晰度,反映了图像中的微小细节反差与纹理变化特征,同时也反映了图像的清晰度,越大越好。 文件名:avg_gradient 调用:outval = avg_gradient(img) 6、结构相似性指数: SSIM指原图像和融合图像的相似程度,值越大越相似 文件名:ssim.m 结果:SSIM 7、互信息:MI(mutual information) 8、NMI: Normalized mutual information(Image sharpness evaluation function)
    2018-09-30 09:09:39下载
    积分:1
  • 1
    说明:  多站拼接后三维激光扫描点云的消冗处理,多站拼接后三维激光扫描点云的消冗处理(After more than three-dimensional laser scanning station splicing point cloud processing eliminate redundant, multi-dimensional laser scanning station splicing eliminate redundant processing point cloud)
    2011-03-23 09:32:37下载
    积分:1
  • yundong-dexiaoqiu
    运动的小球、一般本科需要的课后作业设计。有兴趣的可以下载看看(The ball movement, the general undergraduate required homework designs. Interested parties can download and see)
    2013-12-17 16:59:36下载
    积分:1
  • ieee_ssr_bench
    说明:  IEEE_SSR标准PSCAD算例,实用算例亲测有效(An example of IEEE SSR standard PSCAD)
    2020-04-20 11:04:27下载
    积分:1
  • igesout
    matlab产生iges文件 将图形导出为igs格式的文件,方便导入ansys和SolidWorks等(make iges project .it a very good function for you to link matlab and ansys or solidworks)
    2021-03-04 11:09:32下载
    积分:1
  • bp-vision-master
    置信度传播算法,用于恢复双视点图像中的物体深度(Belief propagation algorithm which is used to recover the depth of objects in dual view images)
    2017-10-19 19:32:17下载
    积分:1
  • work
    IMDCT的matlab实现算法,采用递归结构,嵌套循环,作为硬件实现的Gold(IMDCT in matlab platform)
    2009-07-16 09:18:40下载
    积分:1
  • zhongzhilvbo
    在VC++6.0开发环境下,图像中值滤波的源码实现,编译即可运行~(In VC++6.0 development environment, the source image median filter implementation, the compiler can be run ~)
    2010-05-20 09:04:19下载
    积分:1
  • 基于角谱理论艾里光束的传播
    说明:  基于角谱理论艾里光束的传播,该MATLAB程序,大体上模拟出了Airy光束的二维光强分布,并在此基础上利用角谱理论,编写出了其在二维平面内的传播,只需改变其中的参数就可以展示Airy光束的移动。在此基础上加上障碍物,可以得到Airy光束的自愈合特性等特殊性质(The matlab program, in general, simulates the two-dimensional light intensity distribution of Airy beam, and on this basis, using the angle spectrum theory, compiles its propagation in the two-dimensional plane, only changing the parameters can show the movement of Airy beam. On this basis, the self-healing properties of Airy beams can be obtained by adding obstacles)
    2021-04-19 19:18:51下载
    积分:1
  • 模糊粒子群FuzzyPSO
    此FCM-PSO是对于FCM的改进,用于图像分割,效果好。(it is an improvement on FCM for image segmentation)
    2018-03-20 10:58:44下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载